6 citations · 9 across the 4 of their papers we have counts for
6 papers
LeoNet: A Machine Learning Method for Binary Pulsar Classification
Zhaocheng Gong, Jack White, Zeyu Yang +3
Binary pulsars provide valuable laboratories for testing theories of gravity, but orbital Doppler shifts complicate their detection. Fourier-domain acceleration and jerk searches a…
MARS: A Lightweight Morphology-Aware RFI Segmentation Network for Mask-Guided Mitigation in Radio Astronomy
Zhaocheng Gong, Jack White, Jayanta Roy +1
Next-generation radio telescopes generate filterbank data at rates that make storing all observations for later offline mitigation impractical. Mitigation must therefore operate in…
Cutting the cost of pulsar astronomy: Saving time and energy when searching for binary pulsars using NVIDIA GPUs
Jack White, Karel Adamek, Wes Armour
Using the Fourier Domain Acceleration Search (FDAS) method to search for binary pulsars is a computationally costly process. Next generation radio telescopes will have to perform F…
Towards self-attention based visual navigation in the real world
Jaime Ruiz-Serra, Jack White, Stephen Petrie +2
Vision guided navigation requires processing complex visual information to inform task-orientated decisions. Applications include autonomous robots, self-driving cars, and assistiv…
Bits missing: Finding exotic pulsars using bfloat16 on NVIDIA GPUs
Jack White, Karel Adamek, Jayanta Roy +3
The Fourier Domain Acceleration Search (FDAS) is an effective technique for detecting faint binary pulsars in large radio astronomy datasets. This paper quantifies the sensitivity…
Super-Resolving Beyond Satellite Hardware Using Realistically Degraded Images
Jack White, Alex Codoreanu, Ignacio Zuleta +4
Modern deep Super-Resolution (SR) networks have established themselves as valuable techniques in image reconstruction and enhancement. However, these networks are normally trained…